{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PSMILES and Weighted Directed Graph Conversions with Deepchem\n",
    "\n",
    "By Debasish Mohanty\n",
    "\n",
    "# Table of Contents:\n",
    "1. [Introduction](#introduction)\n",
    "2. [Understanding the Conversion Mechanism](#conv-mech)\n",
    "      - [Weighted Directed Graphs to PSMILES](#wdg2p)\n",
    "      - [PSMILES to Weighted Directed Graphs](#p2wdg)\n",
    "3. [Code Implementation with Deepchem](#codeimplement)\n",
    "      - [Setup](#setup)\n",
    "      - [WDG to PSMILES](#code-wdg2p)\n",
    "      - [PSMILES to WDG](#code-p2wdg)\n",
    "4. [Summary](#sum)\n",
    "5. [References](#ref)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Introduction <a id=\"introduction\"></a>\n",
    "\n",
    "To effectively leverage polymers for chemoinformatics tasks using neural networks, it is essential to establish detailed and accurate representation mechanisms for input data.Polymers are intrinsically complex, requiring their representations to encompass both chemical structure and functional properties. Several polymer representation methods are available, as discussed [in this tutorial](https://deepchem.io/tutorials/an-introduction-to-the-polymers-and-their-representation/). Two key approaches are Polymer Simplified Molecular Input Line Entry System (PSMILES) and Weighted Directed Graphs (WDG) `[1]`, both designed to represent polymers sequentially. For a deeper understanding of WDG, refer to [this tutorial](https://deepchem.io/tutorials/understanding-weighted-directed-graphs-for-polymer-implimentations/).\n",
    "\n",
    "PSMILES encodes the polymer's structure as a string notation of its building blocks (monomers), while WDGs provide a graph-based representation, capturing both the relative contributions and repetition patterns of these monomers. WDGs convey more intricate details about polymer candidates compared to PSMILES but are more complex to manage computationally. PSMILES, on the other hand, is favored for its simplicity in storage, retrieval, and processing. Given the complementary strengths of these representations, bidirectional conversion between PSMILES and WDGs is critical for enabling diverse analyses, particularly in machine learning-driven studies.\n",
    "\n",
    "In our paper \"Open-source Polymer Generative Pipeline\" `[2]`, we employed this conversion mechanism to study representational variation across different discrimination algorithms. This tutorial provides an overview of the conversion process between PSMILES and WDGs, emphasizing their functional significance in polymer informatics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Understanding the Conversion Mechanism <a id=\"conv-mech\"></a>\n",
    "\n",
    "The PSMILES representation specifies the terminal point where the next monomer unit can be appended, whereas the Weighted Directed Graph (WDG) representation captures the connections between repeating units, including their proportional contributions and the weight assigned to each bond at the end of the string representation. Consequently, PSMILES can be considered as a subset of the information encoded in WDGs. The conversion between these two representations is inherently interconnected, involving the addition or omission of certain technical details. In the subsequent sections, we will delve into the specifics of this conversion mechanism. The weighted directed graphs representations are utilizied previously for property prediction tasks, specifically with weighted-Directed Message Passing Neural Network (w-DMPNN). `[1]`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Weighted Directed Graphs to PSMILES <a id=\"wdg2p\"></a>\n",
    "\n",
    "The conversion mechanism of the weighted directed graphs to PSMILES is comparatively simpler. We must omit the monomer proportional contribution and the bond weight mapping data and restructure the rest of the chemical descriptions to get the PSMILES string. As some of the important data is removed in this process, we are required to keep the additional data as metadata to ensure exact reproducibility. The conversion process of WDG to PSMILES will go through the following processes to complete.\n",
    "\n",
    "1. The WDG string will be split into three sections (i.e. pre, mid, and tail)\n",
    "2. The pre section containing the component details will go through the following steps to keep the bond details for reproducibility\n",
    "    - The SMART notation of the bonds is converted into simple wildcards (`*`)\n",
    "    - The molecules are collected by splitting from \".\".\n",
    "    - The resultant strings will be valid SMILES, which can undergo molecular operations using RDKit `[3]`.\n",
    "    - Using RDKit valid bonds are formed between two of the wildcard-containing molecules.\n",
    "    - The wildcard bond with consecutive atom index is removed to emulate the process of valid unit monomer generation.\n",
    "    - That specific atom index and the SMILES string indices are saved as metadata (with key `indicies` and `seq_index` respectively)\n",
    "    - The resultant string formation will be a valid PSMILES.\n",
    "3. The mid and tail sections is joined as a string to be kept as a metadata with key `residue`.\n",
    "\n",
    "Let's see the process with an example.\n",
    "\n",
    "Example WDG string -> `[*:1]CC[*:2].[*:3]CC[*:4]|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5`\n",
    "\n",
    "- Splitting the parts ->\n",
    "\n",
    "    Pre: `[*:1]CC[*:2].[*:3]CC[*:4]`\n",
    "    Mid: `|0.5|0.5|`\n",
    "    Tail: `<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5`\n",
    "\n",
    "- Converting to simple wildcard -> \n",
    "\n",
    "    `[*:1]CC[*:2].[*:3]CC[*:4]` --> `*CC*.*CC*`\n",
    "\n",
    "- Getting RDKit molecule objects and getting the wildcard indices from the molecule and deleting substructures of `*`->\n",
    "\n",
    "    `*CC*.*CC*` : Mol 1 -> `*CC*` Mol 2 -> `*CC*`\n",
    "\n",
    "- Bonding at index 3 and 4 and deleting substructures from `*` ->\n",
    "\n",
    "    Mol -> `*CC**CC*` metadata[\"indicies\"] -> [3, 4]\n",
    "\n",
    "- Remove the consecutive `**` for a valid string representation of PSMILES -> \n",
    "\n",
    "    Mol -> `*CCCC*` metadata[\"seq_index\"] -> 3\n",
    "\n",
    "- Forming the residue ->\n",
    "\n",
    "    metadata[\"residue\"] -> Mid + Tail ->  `|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5`\n",
    "\n",
    "- Final Output ->\n",
    "\n",
    "    PSMILES -> `*CCCC*`\n",
    "\n",
    "    Metadata -> `{\n",
    "    \"indicies\": [3, 4],\n",
    "    \"seq_index\": 3,\n",
    "    \"residue\": \"|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5\"\n",
    "    }`\n",
    "\n",
    "These processes are handled by DeepChem's `WDG2PSMILESConverter` class to give you the converted format with ease. The code implementation of the same can be found in the following sections.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PSMILES to Weighted Directed Graphs <a id=\"p2wdg\"></a>\n",
    "\n",
    "The PSMILES string contains the sequential string notation like SMILES with the inclusion of wildcard notation like `*` or `[*]`. A similar notation can be found in the weighted directed graphs with an additional integer index for the open bond. The PSMILES usually contains a reference of a single repeating unit, while the WDG contains two repeating units indicating their bond connection between two units with digits. Those digits are again used in the tail section of the WDG string representation to map a weight value as a floating point. Hence to convert the PSMILES to WDG we can have the following steps.\n",
    "\n",
    "1. Convert the PSMILES string into Two Sections\n",
    "    - By splitting the PSMILES at a given bond index (if there is metadata for the conversion)\n",
    "    - By repeating twice the unit component (if there is no metadata or it's a homo-polymer)\n",
    "\n",
    "2. Assign the indices to the bonds for SMILES Arbitrary Target Specification (SMARTS) `[4]` like notation at the wildcard (`*`).\n",
    "3. Conditionally assign the mid and tail sections of the WDG\n",
    "    - If there is metadata, it will contain these sections as a residue text\n",
    "    - If there is no metadata.\n",
    "        - We can assume the repeating proportion to be equal of 0.5 and 0.5 (for homo-polymers) and compose the mid-section of the string accordingly.\n",
    "        - we can consider the repeating pattern to be \"alternating\", \"random\" or \"block\". Based on this, we will assign the tail bond weight sections for two repeating sections.\n",
    "4. Join the string section with SMARTS indices, the mid and the tail section to get the whole WDG representation.\n",
    "\n",
    "Let us see these processes with an example:\n",
    "\n",
    "**Case: 1 (Considering there is no metadata)**\n",
    "\n",
    "Example PSMILES string -> `*CC*`\n",
    "\n",
    "- Converting PSMILES to multiple forms\n",
    "\n",
    "    Resultant Presentation -> `*CC*.*CC**`\n",
    "\n",
    "- Assigning indices for the wildcards\n",
    "\n",
    "    Resultant Presentation -> `[*:1]CC[*:2].[*:3]CC[*:4]`\n",
    "\n",
    "- Assigning mid part considering it's a homo-polymer (one type of repeating unit)\n",
    "\n",
    "    Mid Part -> `|0.5|0.5|`\n",
    "\n",
    "- Assigning tail part for different cases\n",
    "    - For alternate -> `<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5`\n",
    "    - For block -> `<1-2:0.75:0.75<3-4:0.75:0.75<1-3:0.125:0.125<1-4:0.125:0.125<2-3:0.125:0.125<2-4:0.125:0.125`\n",
    "    - For random -> `<1-2:0.50:0.50<3-4:0.50:0.50<1-3:0.33:0.33<1-4:0.33:0.33<2-3:0.33:0.33<2-4:0.33:0.33`\n",
    "\n",
    "*Note - For a better understanding of the above weight sequences for bond indices refer to the research paper \"A graph representation of molecular ensembles for polymer property prediction\". `[2]`*\n",
    "\n",
    "- Joining all the parts to get the string representation of weighted directed graphs\n",
    "\n",
    "    - WDG Representation (for alternate): `[*:1]CC[*:2].[*:3]CC[*:4]|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5`\n",
    "    - WDG Representation (for block): `[*:1]CC[*:2].[*:3]CC[*:4]|0.5|0.5|<1-2:0.75:0.75<3-4:0.75:0.75<1-3:0.125:0.125<1-4:0.125:0.125<2-3:0.125:0.125<2-4:0.125:0.125`\n",
    "    - WDG Representation (for random): `[*:1]CC[*:2].[*:3]CC[*:4]|0.5|0.5|<1-2:0.50:0.50<3-4:0.50:0.50<1-3:0.33:0.33<1-4:0.33:0.33<2-3:0.33:0.33<2-4:0.33:0.33`\n",
    "\n",
    "**Case: 2 (Considering there is metadata)**\n",
    "\n",
    "Example PSMILES string -> `*CCCC*`\n",
    "\n",
    "Example Metadata -> `{\n",
    "    \"indicies\": [3, 4],\n",
    "    \"seq_index\": 3,\n",
    "    \"residue\": \"|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5\"\n",
    "    }`\n",
    "\n",
    "- Converting the PSMILES into 2 sections\n",
    "    - Placing multi-wild card `**` at `seq_index` place of the PSMILES\n",
    "        Resultant Representation -> `*CC**CC`\n",
    "\n",
    "    - Adding fragmentation at atom indicies from the metadata\n",
    "        Resultant Representation -> `*CC*.*CC*`\n",
    "\n",
    "- Adding indices to the string representation\n",
    "    Resultant Representation -> `[*:1]CC[*:2].[*:3]CC[*:4]`\n",
    "\n",
    "- Adding the residue text at the end to get the final WDG Representation\n",
    "    Resultant Representation -> `[*:1]CC[*:2].[*:3]CC[*:4]|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5`\n",
    "\n",
    "\n",
    "*Note - With metadata a precise WDG can be restored and without it, 3 variations of WDGs can be formed consisting of Random, Alternate, and Block repetition arrangment.*\n",
    "\n",
    "These processes are handled by DeepChem's `PSMILES2WDGConverter` class to give you the converted format with ease. The code implementation of the same can be found in the following sections. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Code Implementation with Deepchem <a id=\"codeimplement\"></a>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup <a id=\"setup\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# installation\n",
    "! pip install rdkit deepchem networkx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# all imports\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem import AllChem\n",
    "from rdkit.Chem import Draw\n",
    "from matplotlib import pyplot as plt\n",
    "import networkx as nx\n",
    "import re\n",
    "from deepchem.utils.poly_converters import PSMILES2WDGConverter, WDG2PSMILESConverter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualization Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# utils functions for visualization\n",
    "\n",
    "# for PSMILES\n",
    "\n",
    "def show_mols(mols: list, labels: list, figsize=(10,10)):\n",
    "    \"\"\"\n",
    "    This function is used to display a list of molecules using matplotlib.\n",
    "    \"\"\"\n",
    "    if len(mols) > 1: \n",
    "        fig, ax = plt.subplots(1, len(mols), figsize=figsize)\n",
    "        for i in range(len(mols)):\n",
    "            mol = mols[i]\n",
    "            label = labels[i]\n",
    "            img = Draw.MolToImage(mol)\n",
    "            ax[i].imshow(img)\n",
    "            ax[i].set_title(label)\n",
    "            ax[i].axis('off')\n",
    "            ax[i].set_aspect('equal')\n",
    "    else:\n",
    "        mol = mols[0]\n",
    "        label = labels[0]\n",
    "        img = Draw.MolToImage(mol)\n",
    "        plt.imshow(img)\n",
    "        plt.title(label)\n",
    "        plt.axis('off')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for weighted directed graphs\n",
    "\n",
    "def rev_bonds(bond_str):\n",
    "  \"\"\"creates reverse bonds of the existing bonds between open bonds\"\"\"\n",
    "  rev_str = str(bond_str.split(\"-\")[-1])+\"-\"+str(bond_str.split(\"-\")[0])\n",
    "  return rev_str\n",
    "\n",
    "# creating colour mapping for different atoms\n",
    "COLOR_MAPPER ={\n",
    "    \"C\" : \"green\",\n",
    "    \"F\" : \"blue\" ,\n",
    "    \"O\" : \"yellow\"\n",
    "}\n",
    "\n",
    "\n",
    "def smiles_to_graph(smiles_string):\n",
    "    \"\"\"Converts a SMILES string to a weighted, directed NetworkX graph.\"\"\"\n",
    "\n",
    "    # >>> Parsing the string values to different segments\n",
    "\n",
    "    # Split the SMILES string by the pipe (|) delimiter\n",
    "    parts = smiles_string.split('|')\n",
    "    node_colors = []\n",
    "\n",
    "    # Extract the SMILES representation of monomers (before the pipe)\n",
    "    monomer_smiles = parts[0]\n",
    "\n",
    "    # Extracting connection bond details from string representation\n",
    "    bonds_strs= parts[-1].split(\"<\")[1:]\n",
    "\n",
    "    # >>> Structuring the input properly \n",
    "\n",
    "    # creating dictionary of bonds in both directions\n",
    "    bond_dict={ k.split(\":\")[0]: k.split(\":\")[1] for k in bonds_strs }\n",
    "    rev_bond_dict={ rev_bonds(bond_val):bond_wei for (bond_val,bond_wei) in bond_dict.items() }\n",
    "    bond_dict.update(rev_bond_dict)\n",
    "\n",
    "    node_labels = {}\n",
    "\n",
    "    # >>> Handling graph generation and weight assignment \n",
    "\n",
    "    # Create an empty directed graph\n",
    "    G = nx.DiGraph()\n",
    "\n",
    "    # Process the monomer SMILES string using RDKit\n",
    "    mol = Chem.MolFromSmiles(monomer_smiles)\n",
    "    atoms = mol.GetAtoms()\n",
    "\n",
    "    updater = 1\n",
    "\n",
    "    # Add nodes to the graph based on atom indices\n",
    "    for atom in atoms:\n",
    "      if (atom.GetSymbol() == \"*\"):\n",
    "        # adding wild card atoms and assigning labels with it\n",
    "        G.add_node(atom.GetIdx())\n",
    "        node_labels[atom.GetIdx()] = f\"*{updater}\"\n",
    "        node_colors.append(\"gray\")\n",
    "        updater += 1\n",
    "      else:\n",
    "        G.add_node(atom.GetIdx())\n",
    "        node_labels[atom.GetIdx()] = f\"{atom.GetSymbol()}\"\n",
    "        node_colors.append(COLOR_MAPPER[f\"{atom.GetSymbol()}\"])\n",
    "\n",
    "\n",
    "\n",
    "    # Process edges (bonds) and weights\n",
    "    for bond in mol.GetBonds():\n",
    "        source = bond.GetBeginAtomIdx()\n",
    "        target = bond.GetEndAtomIdx()\n",
    "        G.add_edge(source, target, weight=1.0, label=\"1.0\")\n",
    "        G.add_edge(target, source, weight=1.0, label=\"1.0\")\n",
    "\n",
    "    # assigning new connected edges to the graph\n",
    "    for bond_val, wei_val in bond_dict.items():\n",
    "      start = \"*\"+bond_val.split(\"-\")[0]\n",
    "      end = \"*\"+bond_val.split(\"-\")[1]\n",
    "      start_idx, end_idx = None,None\n",
    "      for idx,val in node_labels.items():\n",
    "        if val == start:\n",
    "          start_idx = idx\n",
    "        elif val == end:\n",
    "          end_idx = idx\n",
    "      # handling self edge case\n",
    "      if start == end and start != None:\n",
    "        G.add_edge(start_idx,start_idx, weight=wei_val, label=f\"{wei_val}\")\n",
    "      else:\n",
    "        if start_idx == None: raise ValueError(f\"Index not found for start wildcard {start}\")\n",
    "        if end_idx == None: raise ValueError(f\"Index not found for end wildcard {end}\")\n",
    "        G.add_edge(start_idx,end_idx, weight=wei_val, label=f\"{wei_val}\")\n",
    "\n",
    "\n",
    "    return G, node_labels, node_colors\n",
    "\n",
    "def draw_graph(smiles_string, figsize=(8,8)):\n",
    "  \"\"\"This function draws the graph with edge-labels and colors\"\"\"\n",
    "  G, node_labels, node_colors  = smiles_to_graph(smiles_string)\n",
    "\n",
    "  plt.figure(figsize=figsize)\n",
    "  # Create visual representation using Matplotlib and NetworkX\n",
    "  pos = nx.spring_layout(G)  # Use a layout algorithm\n",
    "  # node_labels = {node: node for node in G.nodes()}\n",
    "\n",
    "  # Customize edge labels to display weights\n",
    "  edge_labels = {(source, target): data['label'] for source, target, data in G.edges.data()}\n",
    "\n",
    "  nx.draw_networkx_nodes(G, pos, node_color=node_colors, node_shape='o')\n",
    "  nx.draw_networkx_edges(G, pos, edgelist=G.edges(), arrows=True, width=2, alpha=0.7, edge_color=\"black\")\n",
    "  nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=12)\n",
    "  nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)\n",
    "\n",
    "  plt.axis('off')\n",
    "  plt.show()\n",
    "\n",
    "def convert_format(text):\n",
    "  \"\"\"This function is used to convert the format of the string from [*:x] to [x*] \n",
    "  to emulate the conversion from SMARTS to a modified SMARTS format\n",
    "  (as the visualization setup uses this format)\"\"\"\n",
    "  return re.sub(r'\\[\\*\\:(\\d+)\\]', r'[\\1*]', text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### WDG to PSMILES <a id=\"code-wdg2p\"></a>\n",
    "\n",
    "We will implement the conversion mechanism with example of Poly-ethylene using following set of codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# weighted directed graph of poly-ethylene (polythylene is a homopolymer hence it's a single monomer repeated [emulates only alternate arrangement])\n",
    "wd_graph_string = \"[*:1]CC[*:2].[*:3]CC[*:4]|0.75|0.25|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the weighted directed graph\n",
    "draw_graph(convert_format(wd_graph_string))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's convert the above weighted directed graph into corresponding PSMILES format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "converter = WDG3PSMILESConverter(return_metadata = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "result, meta = converter([wd_graph_string])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "result >> ['*CCCC*']\n",
      "meta >> [{'indicies': [3, 4], 'seq_index': 3, 'residue': '0.75|0.25|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5', 'smiles_type': 'SMARTS'}]\n"
     ]
    }
   ],
   "source": [
    "print(\"result >>\", result)\n",
    "print(\"meta >>\", meta)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As discussed in the conversion mechanism section the above result and metadata is recieved. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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iiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIolRICIiiVEgIiKJUSAiIkmvvQfwqKutrUVCQgJ+/vlnlJSUwMTEBP/1X/8FX19fmJubt/fwiOgRwyi0AyEEGhsbkZaWhrS0NMTFxeHQoUMoLy+HsbExDAwM0K9fPwQFBSEgIKC9h0tEjxCFEEK09yAeFVqtFiqVCpWVlSgoKMD333+PPXv2oKioCDo6OlAqlaioqIBWq0VwcDDGjRuHhQsXwsHBAXp6elAoFO39FIjoAdFqtRBCQKFQQEen/dbsMwoPWPPLK4RAQ0MDMjMzsX37dnz22WeoqqoCADg5OSEwMBB9+vTBl19+ibKyMjQ1NcHS0hKDBg3Cxx9/DBcXF+jr6wMA40D0EKqpqUFTUxN0dXXbddUxo/CACSFQV1eHrVu3YvPmzTh16hQqKiqgVqsRGhqKuXPnYvDgwfD29oaOjg7UajXWrVuHHTt2IDExEbW1tbCyssKzzz6L6Oho+Pv7t+tcBBE9GK+99hpSUlLg4+ODVatWtds4uE3hAVGr1SguLsbx48fxzTff4NKlSyguLoaenh769OmDWbNmoX///nBycoK5uTkMDQ0hhICenh4mT56M8PBwJCcn47vvvsPx48exdu1anDhxAkOHDsW0adPg4uLCJQaiTqypqQmNjY0wNTUFAJiamsLGxgbW1tbyPo2NjdDV1YWeXtt9VTMKrUgIAa1Wi/PnzyM1NRUpKSk4e/Ys4uPjYW5ujtDQUAQGBiIkJAT9+vWDm5sbdHV15eObv+Tt7e1haWkJW1tbGBsbw9nZGYcPH8aZM2dQVlaG4uJijB49GuHh4VAqlYxDJ6dSqXDp0iWkpaXB0NAQ3bp1Q48ePVq8N+jhU1BQgNjYWBgbGyM8PByGhoZwcHCAlZUVLl++jNOnT6OpqQl+fn7w9/dvs3ExCq1ACIGmpiaUl5cjLy8PBw8exMGDB5GSkoKmpiY4OTkhLCwMjz32GMLCwtCjR48/naaBgQFcXV0xdepUuLq6QkdHB2fPnkV2djbOnz+PGzduQFdXF926dYOVlRWUSmUbPFNqTXV1dbhx4wby8vIQFxeHgwcPwtjYGBERERgxYgS6du0KGxsbRv8hJITAtWvXEBMTA5VKhdraWpSWlkKtVqOiogJxcXHYv38/lEolTExM2jQK3KZwn5pfNq1Wi6amJhQXF2Pv3r1YtmwZCgsLodFoYGFhAV9fX7zwwgsYNWoUjI2N7/v3VVVVYceOHfjxxx+xf/9+qFQq9OjRA4sXL8aIESPg6ekpFzH5JdJxCSEghIBarUZmZiZ27NiBL7/8EleuXIFCoZCrEL28vPDGG29gypQp0NfXh0Kh4N/1IaLVapGRkYFt27YhIyMD58+fb7H3kZGREXr06AFfX1889thjCA8Pb7OxMQr3qfnDHRcXh59++gk///wzCgoKIISAl5cXxo0bh/Hjx2PQoEFyw/Bf+VA3/5lKS0uRmJiIl156Cbm5uVAoFAgICMATTzyB559/HoaGhvzy6MA0Gg3y8vKwYsUK7Nu3D/n5+dBoNAAANzc3lJaWor6+HkIIGBgY4NVXX8WiRYvQpUuXNl2vTA/WzXslAkBGRgY++eQTpKamwtHREatWrYKrq6ucGWjLzzSjcI+a9yaKi4vD559/jvPnz6O0tFSuJpo/fz5GjhwJJycnmJmZwcjICEDrzb1rNBrU19ejoKAAa9euxS+//IKioiJYWlrC398fb775JoKCgng0dAdTUVGBzMxM7Ny5Ez/99JP88re2tkavXr0wb9489O7dG1VVVfjll1+wceNGZGdny6XN6OhojBkz5q5WPVLnoVarUVRUhBdffBEBAQHQ19dHUVERSktLsWrVKtja2spd0dsKo3CXhBAoKChAWloaEhMTkZSUhNOnTwMAPD090adPHwwaNAjBwcHw8PB4oHPszasfUlNTcfz4ccTFxSE+Ph719fUYMGAAhg8fjv79+yMwMBCGhoYPZAz054QQqKmpQUJCAhITE5GcnIxz587h0qVL8Pf3x4ABA9CzZ094e3sjMDAQ9vb2aGpqwqVLl3DmzBmkpKRg06ZNqKurQ9euXdGnTx8MGzYM48eP5xLhQ0Cj0eDGjRtYtmwZ4uPj8fzzz8PT0xPnzp3D0qVLMXfuXMyaNQuOjo5tOi4uj/4JrVaLsrIyZGVl4cyZM0hISMDx48dRWloKT09P+Pr6IjQ0FP3790d4eDh0dHQe+IdVoVBAX18fISEhcHBwgIuLC8zNzZGYmIj9+/ejtLQU169fR1VVFfz9/eHg4MAvkDakVqtRW1uLwsJCpKamIiYmBgkJCbhy5QqsrKwQGRmJyMhIREVFoUePHrC0tJSPNTQ0hL+/P7y8vBAcHIy6ujokJSUhLy8Ply9fxrVr12BsbIygoCDY2tpyB4NOrHnm7vr16+jRowd8fHzQvXt3GBkZwdXVVR7P1Na4pPAH1Go1mpqaUFNTg7i4OKxYsQKZmZmora2FsbExunbtimeeeQajRo1Cly5d2vWAMq1Wi/Lycnz//fdYvnw5SkpKoK+vj27duuHFF1/EuHHjYGJiAl1dXcbhAWnextTY2IiKigpcvHgRmzdvxrp166DRaGBoaAhXV1cMGTIEL7zwAjw8PP50G0Hzl8bmzZuxZcsWHD9+HDU1NXB0dMT/+3//D5GRkXBzc4NSqeQBjZ1UU1MTMjIyUFdXB19fX1hZWaG6uhqHDh1C3759YWtrCwMDg7YdlKDbyszMFKtWrRJBQUECgAAgbGxsxKhRo8TXX38tGhoahFarlT/t6eZxZGRkiNmzZwtXV1cBQOjo6IjJkyeL5ORkUVtb267jfJhptVpRWloqPv/8czF8+HBhbGws3zdDhgwRa9euFTk5Off8fmm+/5UrV8QPP/wgevfuLacbGhoqPvjgA1FWVvYAnxk9SBqNRtTW1t7yvmjP7xUuKdxEo9Hg1KlT2Lt3L/bv34/09HQ0NjbC0tISCxcuxOjRo9GtWzeYmpq2+gbk1iCEgEajQXV1NZKTk/HLL79gzZo10Gq1cHR0xOjRoxEdHY1hw4a191AfGk1NTbh+/Tp++uknfP755yguLkZtbS2USiX69OmD1157DYGBgbCwsICBgcF970Gk0WjQ2NiIsrIyrFu3Dp9//jkqKipgamoKb29vvPjii5gwYQK3IXUS+fn5+PXXX3Hw4EGYmZnhnXfe+Uu7rLcmRgHAjRs3cOnSJRw9ehQJCQkoKSlBcXExlEolQkNDMWbMGPj5+cHJyQmmpqYdflFdCIHKykrk5+fjxIkT+OKLL5CdnQ0rKyv4+fnhsccew/z582FlZcWjZu+D+M9qolOnTuHEiRNITEzEhQsXkJWVBXd3d/Tt2xf9+vVDYGAg/P39YW5u3iqvc3P0c3NzkZCQgF9++QWnTp1CaWkpevTogbFjx2L8+PHo3r07TExMWuGZUmvSaDTIycnBgQMHkJqaipycHFy/fh1WVlb44YcfYGdn1yE+j4/shmYhhIzBxYsXkZ6ejhMnTqCgoAA+Pj6IjIyEl5cXQkJCEBkZKQ8g6gwUCgUsLS1hamoKR0dH1NbW4ujRo0hLS0NSUhJKS0thaGiI/v37w8vLCxYWFp3mubUnrVaLxsZG5OTkIDk5GQkJCTh16hQyMzNhamqKwYMHo2/fvoiIiEBwcDC6dOnSqr9foVBAT08P3bp1g7W1NczMzODs7Cz3bGpoaEBdXR3Cw8MREBAALy8v+ThqP81HK+fk5CAxMRFHjhzB5cuXAQCurq4IDg5u891O7+SRW1LQaDRoampCdXU1Tp06hW3btiElJQXXr1+HsbExXFxcMHHiRAwePBjdunV7aBbHjx07hs2bN2P//v3y+g0LFizAhAkTEBAQAAsLiw71xuxIxH9Oe15VVYUrV65g+/bt+Prrr1FRUQE9PT3Y2toiJCQEzz//PHr16iVPcNYW4yosLMThw4exfPly5OXlQQiBoKAgREdH44knnoCdnR309PQ6/NLtw0b859Q3NTU1yMvLQ3JyMnbv3o1ff/0VJiYmsLKyQvfu3TFkyBBMnToVpqamHSbej0wUmp/mjRs3cO7cOXz77bfYt28fNBoNDAwM4OLignHjxuGpp56Cqalph1iMa21VVVVITk7GypUrsXPnTggh0K1bN4wZMwZPP/00vL295X07yhu0vdz8sWhsbMTx48exc+dObN68GSUlJQAAPz8/jBw5ElOnTm3T0xD8nkajwfXr1/E///M/OHDgAK5duwYjIyOEhobi008/Rbdu3eSuq4/63/VBEzcdqXzhwgWsX78ex44dQ3Z2NhQKBYyNjTFlyhRER0ejZ8+eHWY7ws0eiSgIIZCTk4MdO3YgLi4O6enpUKlUMDAwwKhRoxAVFYXw8HCYm5vL3b8exg9P8zrpuro67Nu3D2+//Tby8vKg0Whgb2+PRYsW4e9//3un2G7yoGm1WtTX12PLli347LPPkJubi+rqaigUCvTq1QvPPPMMIiMj4ejoCH19/XadiRA37Q577NgxbNu2DT/++CMqKythYWGBJ598EtHR0QgLC3soZ3Y6kvLycpw7dw6bNm1CTEwMGhsboVAo0KVLFwwbNgwLFy6EnZ0dDA0N2+SYpvvxUEehrq4ORUVF2Lt3Lw4fPoyioiJUV1dDV1cX/fr1Q3R0NLy8vGBvb99qGwM7A61Wixs3biAjIwO//PILYmNjkZqaCicnJwwcOBDTp0+XB8Y9atRqNbKyspCYmIg9e/YgNTUVhYWFMDc3h5+fH4YPH44RI0bAxcUFlpaWbb8P+Z+oqKjAlStXkJqaiu+//x4xMTFwcHCAj48P+vfvj9mzZ8Pb27tDfhl1VkIIlJSUIC4uDomJiUhJScHVq1dRXV2NPn36YODAgQgJCYGbmxu6dOnS4bdPPpQbmmtqapCTk4MLFy4gJSUFJ0+exIULF9ClSxeEhobC398fvXv3Rnh4uDyo61Gio6MDW1tbhIWFwdDQEC4uLoiLi0NsbCwOHjwIlUqFrKwsREREoHfv3g/9QW/Nc9pZWVlISkpCSkoKUlJScObMGSgUCgwcOBBBQUEIDAxEcHAwfH1923vIf6h5B4PmbQmmpqZISEhAamoqSkpKUFtbi3HjxqFPnz4wNjZ+5JcI/4qmpiZUVlYiLS0NJ0+exNmzZ3Hp0iWUl5fDw8MDEyZMQFBQEAICAuDu7i53Y+/o2j0KDQ0N0Gg00NXV/UuH7Defwrq0tBTZ2dmIi4vDiRMnkJaWBjMzM3h5eSE8PBwDBgxAREREi1MLPKqUSiXCw8PRvXt39OrVCyqVCmfOnMGuXbuQnp6O/Px86Ovrw8vL66GMZ/Mql6qqKnlu+40bNyI/Px9qtRq2trbo3bs3ZsyYgfDwcHTp0qVTxFFPTw92dnaYPHkynJ2dYWJigtOnT+Py5cv47LPPUFZWBiEEunfvDmtr607zZdVRNDU1oaqqCsXFxcjKysLOnTtx+PBhGBgYwMLCAgEBARg8eDCmT58OKyurTnd223ZffZSZmYmqqiq5eH6vmufy6uvrUVRUJM8cWlNTAx0dHZibm2PcuHHy9MMPy95Era35NVy+fDk2btyIS5cuQUdHB25ubli5cqUMaWc/r//NGwLVajUuXLiAAwcOYPXq1cjOzoaOjg4cHBzQu3dvzJo1C5MnT+70S0oNDQ2IjY3Fli1bsGnTJqhUKri6umLu3LmIjo5GQECADH5nfp4PUvP7RqvV4sqVK9i3bx8OHjyIxMREqNVqKJVK9O/fH1FRURg6dGir747clto9CosXL0ZeXh5CQ0Px9ttv3/PjS0pKcOzYMcTExODgwYNoaGiArq4ugoOD8dhjj2HcuHFwc3NrlWsaPMxuftNnZmZi+/bt+Pbbb5GTkwM9PT1MmDABM2fORFRUVIfcY+JuNc9E7N+/H19++SWSkpJw5coVCCHg6uqKJ598EmPGjEFgYCD09PTk+6Uzv2+an3NlZSVOnz6N5557DtnZ2dBoNPDw8MDEiROxZMkSmJiYcHXSH1CpVCguLsb69euxadMmVFRUQKvVwsjISJ7Pys3NDcbGxp1+xqnNo1BeXo66ujrY29tDT08Pb7zxBoqKihAYGIgXXngBQggUFxfDwsLiDxdrNRoNKisrsX37duzbtw8FBQWorKxEQ0MDwsPD8cQTT8DHx0duQO5oGwM7uoaGBpSXlyM7OxtbtmzBV199BQMDAzg7OyMkJAQLFizAoEGDOt0bv7i4GMnJyfj3v/+N06dPo6SkBAqFAi4uLpgyZQomTZoEe3t7WFhYPJTXvm6+Fkd+fj42b96MXbt24cKFCzAzM0NQUBBefvllhISEwMbGpr2H2mFUVVXh1KlTOHbsGI4dO4br16+jsrISPj4+iIiIwJAhQ9CtWzfY2dlBX1//oYhqm6/syszMREJCAhQKhbxYtZ2dHXR0dHD69GkkJiaivr4e48ePh4+PT4vHNjQ04PLly8jIyMCpU6eQnJyMrKwsmJmZISAgACEhIejduzeCgoI65J4hnYVSqYSjoyPMzc2hr68PU1NT7N27Vx4oVVtbi7y8PERFRcHGxqbDH/SWk5ODkydPIiUlRR7VrVKpEBwcjKCgIPTu3RvBwcHw8/PrsLsJtgZdXV2YmJigR48ecnvDsWPHcOTIESQmJuLTTz+V29yaN0Q/iprj2fx91HwNjMLCQri7u2P8+PEICAiAj48PvLy8HroLWrV5FEpLS5GamoorV66gpqYGpaWl0Gg0KCoqknvAmJubIzIyUq7SUKvVuHbtGvLz83H27FmcOHEC8fHxMDIygpubG3r27InQ0FAMGTKk02wM7OgUCgVMTEzQt29fODg4wMjICAkJCTh37hx27dqF0tJSKBQKBAYGwtXVtcPNXTZvDMzPz8exY8ewd+9epKWloby8HE5OTujVqxeGDx+OiIgI+Pn5dfiwtRaFQgFdXV306tULzs7O8PT0hFKplBeKz83NRWFhIRobG9GzZ084ODg8FHO/d6P5ZJIlJSXIzs7G3r17ERsbi4aGBpiZmaFXr16IiIjAxIkT4erq+tCeX6rNVx9lZmbi9OnTuHjxItLS0nDx4kV5JtLu3bvD19cX3t7eGDBgAJydnaHRaFBcXIxNmzZh165dKCwslEch9+vXD08++SR69uzZ4b6UHjZarRZnz57Frl27sHr1apSVlcHExATjxo3DpEmTEBUVJVe5tGeUm09jUlJSglOnTmH58uU4efIkhBAwNTWFm5sb5s2bhwULFnAdOn77u9bV1WH9+vX46KOPcPXqVblK7aWXXsK0adMe6mtxNH/9qVQqVFdX48yZMzh48CB27NiB+vp6GBgYyO+jqVOnwsfH56F8HVpopVNw37Xm84Sr1WqRkJAgJk2aJMLCwsTs2bNFfHx8i2sD3LhxQxw+fFj4+PgIJycn0aVLFxEeHi5eeeUVkZaWJjQaTYe4nsGjoPl1rq+vF+fOnRPDhw8XRkZGAoCwt7cXjz/+uCgoKBBqtbpdx3n69Gnx3//93yIwMFBed8Da2lrMnz9f7Ny5s8W56/m+aXktjtzcXPHKK68IX19f+dqNHDlSHDp0SFRUVLT3UB8ItVotKioqxMqVK8XAgQOFh4eH6NKli3B2dhazZs0SsbGxoqSk5JF6v7TL3ke1tbU4f/48nnvuOUyePBkGBgbIzc1FcnIyVqxYAX9/f+jr60Oj0aCgoACzZs2CqakpoqOjERoaCk9PT5iYmHT4IwMfRuI/u3KWlZVh165d2Lx5M06ePAmNRgMXFxc888wzGDt2LNzd3dtsLrympgaZmZlYs2YNjhw5gtLSUqjVapiZmWHatGmYPXs2nJ2dYW5uzquU3YFarUZVVRXOnTuHmJgYrFq1CiqVCg4ODhg6dCimTJmCkSNHAujce2MBv53P6vz58zhy5Aj27duHwsJCVFVVwcbGBoGBgZgyZQrCwsJgZmbW7qcxaWttHgWtVoucnBysWrUKv/76K1asWAE7OzskJSVh5cqVeOyxx/D666/LjTe1tbU4ePAgzM3N4enpCVtb2zY7CyXdXvNb5vLly0hLS0NCQgL27t2L9PR0+Pv7IyIiApGRkRg8ePADPVXG9evXkZqaisTERMTHxyMjIwPl5eXw9vZGaGgoBg4ciF69eskTwjEGf04IgerqahQUFOD48eP47rvvcP78eZiYmMDPzw+DBw/GnDlzYG9v3+m2w4j/nLk0Li4Ox44dQ3p6OrKzs1FYWCivf9F8neTm75rOHr/70eYbmoUQUCgUUCqViIiIgLe3N2xsbFBbW4vQ0FAYGRm12Dfc2NgYI0aMaHE7ta/mv4ObmxtsbW3h6uoKMzMzmJiYICUlBWVlZbh69SqqqqrQr18/+Pj4tNo66eaNgefPn8fZs2eRlJQkT2Pi6emJ0NBQ9OnTB2FhYYiIiOD75h4pFAqYm5vD19cXTk5OUKlUOHjwIDIyMnDixAkUFhbC2NgY/fr1g6enJ6ytrTv866vValFTU4MrV64gPT0d+/btQ1xcHEpKSmBkZAQ/Pz+MGzcOISEhcHd3f+S3T7bL6qPmPUOuXr0qr1lQWVmJgoICeHh4cANgJ6RSqXDkyBG8++67uHDhAqqrq2FqaorZs2fj2WefhZ2dHZRK5X0vhjdfjrKyshLnzp3Dp59+iqNHj6K2thbGxsaws7PDnDlzMHv2bDg6OvLI9VaUkJCA7du3Y+fOnSgqKoJWq8Xs2bMxceJEhIWFwdzcvMWBfh1B89daQ0MDqqurkZWVhZiYGKxduxbl5eUwNDSEq6srQkJCMHv2bAwdOvSRWkV0R+2zKYMeVhUVFWLVqlUiMjJSbqzs2bOn+P7778Xly5fvaYPdzRtB8/Pzxfr168X48eOFjo6OACAMDQ3FgAEDxIcffiiuXr36yGwIbA/19fUiLS1NLFiwQL7+Tk5OYvr06SI5ObnDbLy/eRyNjY1i69atYuLEicLe3l6+H/38/MR7770nTp8+3e7j7Yja/TQX9HDRarVQqVS4fPky4uPj8c4776CgoADGxsYICwvDpEmTMG/ePBgaGv7pnKVarcaVK1ewevVq7N69G3l5eWhsbAQATJ06FfPnz4evry+srKzk9DrS3OrDRPznWhz19fWIiYnB0qVLceHCBTQ2NsLa2hqLFi3C4sWLYWNj065z3FqtFiUlJTh69CiWLl2K7OxsuTTp7e2Np59+GmPHjm2xAZnvmZYYBXogGhsbcePGDaSmpuK7777DoUOH5InYQkND8cwzz6BHjx63PZVJVVUVLl68iMOHDyMmJgbZ2dkoLS2Fvb09+vbti/Hjx6Nnz55wd3eHiYlJpzsLZWcmhEBpaSkyMzNx9OhRHD58GPHx8XB1dUV4eDgmTJiAiIgIuLm5temYhBBITk6W1zQ4f/48Ll26BEtLS0RERKBfv34ICwuDp6cnHBwcOANxB/w00QNhaGgIR0dHWFtbo6mpCVZWVkhKSkJ2dra8XGRwcDD69OmD7t27w8DAACUlJUhLS8OlS5eQnp6OpKQkJCcnw8PDA8OGDUNgYKDcq8jCwoIf6nagUChgZ2eHfv36wcrKCvb29rCyssLRo0dx4MAB1NbWoqCgAP369UNoaOgD3W1cCAGVSoWioiIkJSXhxIkTSEpKQlZWFjQaDfr27YuIiAiEhoaiZ8+e8PLy4rbKu8AlBWoTWVlZ2Lt3L7Zv3460tDTcuHEDHh4emDlzJsaOHQtLS0ukpKRg06ZNOHXqFMrKyqBUKmFvb4/Ro0dj0qRJ8PPzg7W1dXs/FbpJdXU10tPT8e677yI1NRVlZWWws7PDsGHD8Nxzz6Fr164wNjZu9aW5+vp6VFdX48qVKzh+/DhWr16N/Px86OnpwdbWFt26dcO8efMwevRomJqacgbiHjAK1GbUajWKiorw5ZdfYtmyZVCpVFAoFDAyMoKNjQ0uX74M4LcTt3Xt2hVRUVF48cUX4eHhwT1DOjDxnwMav/76a6xbtw5nzpyBVquFi4sLli9fjgEDBsDOzu4vr7IRN53e/fTp09i5cye2bduGCxcuQKFQwMnJCSNHjsTEiRMxcuRIbi+4T4wCtZnmdb9NTU3YuXMn3njjDeTk5ECtVkOhUEAIAUdHRyxevBgTJ06Er6+v/GDzw91xNX+FaDQa5OfnY//+/fjiiy+QlpYGPT09DBw4EFOnTsUTTzwBKyur+/499fX1SEhIwHvvvYeUlBRUVlbKiyI988wzePzxx+Ho6AgDAwNeP+UvYBSozQkhUF5ejtzcXMTExCAhIQH19fUYPnw4Bg0aBHd3d14mspNqbGxERUUFcnJysGXLFqxbt07GvlevXpg3bx5GjBhxT0t+eXl5+PXXX7Fv3z4kJiaisLAQurq68Pf3x9ChQzF27Fi4ubnJ07gzBH8NNzRTm1MoFLC2tpYXs/H390dTUxP8/f3h7e3d6U6fQP8/Q0NDeaEiHR0dmJiY4PDhw8jNzcWRI0egUqlQUlKCyMjIOx5k2Hw6/fj4eCQnJyM1NRUZGRm4ceMGwsLCEBoaioCAAPj7+8vLiTIGrYNLCkT0QAghcO3aNWzevBmxsbFISUlBUVER+vTpg/nz5yMoKAiurq5wdHQE8NvMQkNDA6qqqnDt2jWcOHECGzZsQGZmJlQqFezs7ODt7Y1p06Zh2LBhcHR05AzEA8AoENEDJYTAxYsXsWfPHixbtgzFxcUwMjJCSEgIxo8fj0WLFsHAwABarRa5ubmIj4/Hpk2bcOjQIejp6cHCwgK9evXCxIkTMXfuXJiZmXGp4AFiFIjogWr+imlqasK1a9fw6quv4sCBAygvL4e+vj6srKywePFipKSkIDk5GZcvX4YQAsbGxpg3bx5mzpyJgIAAGBsbtzhZJj0YjAIRtYnmXVdLSkqwZs0a7Nq1C2fPnoWOjg4sLCzQ2NgIIQRcXFwwevRozJw5Ey4uLrCwsIChoSEPPGsjjAIRtbm0tDSkpKQgPj4e27ZtQ11dHaysrDBs2DBERkYiICAAPXv2hIGBAZcK2hj3PiKiNhcQEAB3d3d4e3tDo9GgpqYGtra2GD9+PMLDw3khrXbEJQUiIpK4ko6IiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiCRGgYiIJEaBiIgkRoGIiKT/D8ovMoeiCiJCAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol = Chem.MolFromSmiles(result[0])\n",
    "show_mols([mol], [\"Poly-Ethylene PSMILES\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the above manner, we can build PSMILES along with the metadata from weighted directed graphs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PSMILES to WDG <a id=\"code-p2wdg\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we discussed in the conversion mechanism section, there are two ways for converting PSMILES to WDG (i.e. with or without metadata).\n",
    "\n",
    "Let's code considering conversion the case of PSMILES without metadata !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "psmiles_to_wdg_converter = PSMILES2WDGConverter()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the last section we got the PSMILES as result -> `*CCCC*`\n",
    "\n",
    "We can use that result with the following code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "psmiles_res = psmiles_to_wdg_converter(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['[1*]CCCC[2*].[3*]CCCC[4*]|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5']]\n"
     ]
    }
   ],
   "source": [
    "print(psmiles_res)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The converter builds the WDG considering it's an alternate copolymer specifically if any metadata or repetitiion pattern is not mentioned. This conversion takes place by mupltiplying the unit PSMILES twice and assigning weights accordingly. Let's visualize the WDG build from this specific process."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_graph(convert_format(psmiles_res[0][0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As conversion of PSMILES to WDG can be done in one to many approach. We can also generate random and block polymer WDGs using the converter in following fashion. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "psmiles_to_wdg_converter = PSMILES2WDGConverter(conversion_types=[\"alternate\", \"block\", \"random\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "wdg_res_multi = psmiles_to_wdg_converter(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['[1*]CCCC[2*].[3*]CCCC[4*]|0.5|0.5|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5', '[1*]CCCC[2*].[3*]CCCC[4*]|0.5|0.5|<1-2:0.75:0.75<3-4:0.75:0.75<1-3:0.125:0.125<1-4:0.125:0.125<2-3:0.125:0.125<2-4:0.125:0.125', '[1*]CCCC[2*].[3*]CCCC[4*]|0.5|0.5|<1-2:0.50:0.50<3-4:0.50:0.50<1-3:0.33:0.33<1-4:0.33:0.33<2-3:0.33:0.33<2-4:0.33:0.33']]\n"
     ]
    }
   ],
   "source": [
    "print(wdg_res_multi)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above output we can observe three variations of the PSMILES according to the repetition pattern mentioned during initialization.\n",
    "\n",
    "Let's visualize the variations !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for wdgs in wdg_res_multi[0]:\n",
    "    draw_graph(convert_format(wdgs))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this manner we can convert the PSMILES into multiple WDG formats if metadata is not provided.\n",
    "\n",
    "If we are provided a valid metadata we can compose the exact WDG from the PSMILES using following code format.\n",
    "\n",
    "Let's reproduce the weighted graph of Poly-ethylene we converted to PSMILES using the same result and metadata in previous section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "wdg_res_w_meta = psmiles_to_wdg_converter(result, meta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['[*:1]CC[*:2].[*:3]CC[*:4]|0.75|0.25|<1-3:0.5:0.5<1-4:0.5:0.5<2-3:0.5:0.5<2-4:0.5:0.5']]\n"
     ]
    }
   ],
   "source": [
    "print(wdg_res_w_meta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_graph(convert_format(wdg_res_w_meta[0][0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As visualized in the above output, we can confirm that exact WDG is achieved using the PSMILES and metadata. In this manner PSMILES can be converted to WDG and viceversa using DeepChem's funtionalities."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Summary <a id=\"sum\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Polymers require detailed and accurate representations for informatics tasks. Two key representations, Polymer Simplified Molecular Input Line Entry System (PSMILES) and Weighted Directed Graphs (WDGs), are crucial for capturing both the chemical structure and functional properties of polymers. PSMILES offers a simpler string-based notation, while WDGs provide a graph-based approach with more complex details. This tutorial discusses bidirectional conversion between these two formats, which is important for machine learning applications.\n",
    "\n",
    "- **Weighted Directed Graphs to PSMILES**: The conversion from WDG to PSMILES involves simplifying the WDG representation by removing bond weight and monomer contribution data. The WDG string is split into pre, mid, and tail sections, and the pre section is processed by converting bonds to wildcards, creating RDKit molecule objects, and saving metadata. The class `WDG2PSMILESConverter` from Deepchem handles this conversion.\n",
    "\n",
    "- **PSMILES to Weighted Directed Graphs**: Converting PSMILES back to WDGs involves creating repeating units from the PSMILES string and assigning indices to bond locations. The mid and tail sections of the WDG can either come from stored metadata or be generated based on assumptions like equal proportions or patterns such as \"alternating,\" \"random,\" or \"block.\" This conversion process is more intricate due to the need for reconstructing bond weights and patterns. The class `PSMILES2WDGConverter` from Deepchem handles this conversion."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Reference <a id=\"ref\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. [Aldeghi, Matteo, and Connor W. Coley. \"A graph representation of molecular ensembles for polymer property prediction.\" Chemical Science 13.35 (2022): 10486-10498.](https://pubs.rsc.org/en/content/articlehtml/2022/sc/d2sc02839e)\n",
    "2. [Mohanty, Debasish, et al. \"Open-source Polymer Generative Pipeline.\" arXiv preprint arXiv:2412.08658 (2024).](https://arxiv.org/abs/2412.08658)\n",
    "3. [Landrum, Greg. \"Rdkit documentation.\" Release 1.1-79 (2013): 4.](https://readthedocs.org/projects/rdkit/downloads/pdf/latest/)\n",
    "4. [Daylight Chemical Information Systems, Inc. \"SMARTS-A Language for Describing Molecular Patterns.\" 120 Vantis–Suite 550–Aliso Viejo, CA 92656 (2007).](https://www.daylight.com/dayhtml/doc/theory/theory.smarts.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Congratulations! Time to join the Community!\n",
    "\n",
    "Congratulations on completing this tutorial notebook! If you enjoyed working through the tutorial, and want to continue working with DeepChem, we encourage you to finish the rest of the tutorials in this series. You can also help the DeepChem community in the following ways:\n",
    "\n",
    "## Star DeepChem on [GitHub](https://github.com/deepchem/deepchem)\n",
    "This helps build awareness of the DeepChem project and the tools for open source drug discovery that we're trying to build.\n",
    "\n",
    "## Join the DeepChem Gitter\n",
    "The DeepChem [Gitter](https://gitter.im/deepchem/Lobby) hosts a number of scientists, developers, and enthusiasts interested in deep learning for the life sciences. Join the conversation!\n",
    "\n",
    "## Join the DeepChem Discord\n",
    "The DeepChem [Discord](https://discord.gg/cGzwCdrUqS) hosts a number of scientists, developers, and enthusiasts interested in deep learning for the life sciences. Join the conversation!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Citing The Research Paper\n",
    "This is the implementation of the work mentioned in our research paper \"Open-Source Polymer Generative Pipeline\". If you find this work helpful please consider citing it using provided BibTex. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "@article{mohanty2024open,\n",
    "  title={Open-source Polymer Generative Pipeline},\n",
    "  author={Mohanty, Debasish and Shreyas, V and Palai, Akshaya and Ramsundar, Bharath},\n",
    "  journal={arXiv preprint arXiv:2412.08658},\n",
    "  year={2024}\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Citing This Tutorial\n",
    "If you found this tutorial useful please consider citing it using the provided BibTeX."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "@manual{Intro1,\n",
    " title={PSMILES and Weighted Directed Graph Conversions with Deepchem},\n",
    " organization={DeepChem},\n",
    " author={Mohanty, Debasish},\n",
    " howpublished = {\\url{https://github.com/deepchem/deepchem/blob/master/examples/tutorials/PSMILES_and_Weighted_Directed_Graph_Conversions_with_Deepchem.ipynb}},\n",
    " year={2025},\n",
    "}"
   ]
  }
 ],
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